Effects of urbanization on trust: Evidence from an experiment in the field

I conducted a trust game in the field within a natural experiment paradigm to test the effects of urbanization on both in- and out-group trust. I found that urbanization has a larger positive effect on out-group trust than on in-group trust. My findings provide new knowledge to the literature on the intricacy of the urbanization-trust relationship and contribute to the ongoing discourse on the different foundations underpinning in-group and out-group trust.     

Credit access,macroprudential rules and policy interventions: Lessons for potential first time buyers

Given the increased popularity of macroprudential measures in the aftermath of the great financial crisis (GFC), a key policy question to arise in certain mortgage markets is whether a significant access to credit issue exists amongst prospective homeowners because of these new policies. In this paper we assess whether such a problem arises in the context of the Irish mortgage market – a market particularly adversely impacted by the GFC. We use a microsimulation model to estimate the level of latent credit demand that could be serviced by the market given prudent credit risk assessment and the current macroprudential regulations. We then compare this demand to current market provision to explore whether a credit gap exists. Finally, we simulate how a public mortgage credit scheme or equity “help-to-buy” type instrument may help credit access. We find both instruments to be effective but would lead to somewhat higher house prices.     

高旋仪步进电机可变微分技术

本文着重讨论新研制的高温高压泥装旋转拈度、失水仪中步进电机微分技术，用以解决低转速下仪器的测量精度问题。     

高管薪酬激励、战略差异与企业研发投入

文章选取2013—2018年A股共计1221家制造业上市企业的数据为研究样本,实证检验了高管薪酬激励、战略差异与企业研发投入的关系。研究发现:高管薪酬激励、战略差异都能显著促进企业研发投入;战略差异能够显著抑制高管薪酬激励对企业研发投入的促进作用。文章不仅丰富了高管薪酬的研究,还为制定企业战略,加大创新力度提供了参考,同时也丰富了企业研发投入影响因素的研究。     

A Bayesian estimate of the concordance correlation coefficient with skewed data

Concordance correlation coefficient (CCC) is one of the most popular scaled indices used to evaluate agreement. Most commonly, it is used under the assumption that data is normally distributed. This assumption, however, does not apply to skewed data sets. While methods for the estimation of the CCC of skewed data sets have been introduced and studied, the Bayesian approach and its comparison with the previous methods has been lacking. In this study, we propose a Bayesian method for the estimation of the CCC of skewed data sets and compare it with the best method previously investigated. The proposed method has certain advantages. It tends to outperform the best method studied before when the variation of the data is mainly from the random subject effect instead of error. Furthermore, it allows for greater flexibility in application by enabling incorporation of missing data, confounding covariates, and replications, which was not considered previously. The superiority of this new approach is demonstrated using simulation as well as real‐life biomarker data sets used in an electroencephalography clinical study. The implementation of the Bayesian method is accessible through the Comprehensive R Archive Network. Copyright © 2015 John Wiley & Sons, Ltd.     

托尼的中国研究及对费孝通乡村研究的影响

托尼的社会学研究在国内学术界被低估甚至被忽视了,他对中国的研究是经得起时间的考验的,也影响了当时中国学者的研究,典型的是费孝通的乡村研究,很大程度上是受到托尼的直接或间接影响。而托尼与费孝通共同的研究传统就是历史视角、整体视角,在此基础上研究中国农村,无论是从一般学术意义上,还是具体的中国当前农村问题的研究上,都具有很大的指导意义和参考价值,继承和发扬这一研究传统,是文化自觉和理论自觉的重要途径。     

Quantal Risk Assessment Database: A Database for Exploring Patterns in Quantal Dose‐Response Data in Risk Assessment and its Application to Develop Priors for Bayesian Dose‐Response Analysis

Quantitative risk assessments for physical, chemical, biological, occupational, or environmental agents rely on scientific studies to support their conclusions. These studies often include relatively few observations, and, as a result, models used to characterize the risk may include large amounts of uncertainty. The motivation, development, and assessment of new methods for risk assessment is facilitated by the availability of a set of experimental studies that span a range of dose‐response patterns that are observed in practice. We describe construction of such a historical database focusing on quantal data in chemical risk assessment, and we employ this database to develop priors in Bayesian analyses. The database is assembled from a variety of existing toxicological data sources and contains 733 separate quantal dose‐response data sets. As an illustration of the database's use, prior distributions for individual model parameters in Bayesian dose‐response analysis are constructed. Results indicate that including prior information based on curated historical data in quantitative risk assessments may help stabilize eventual point estimates, producing dose‐response functions that are more stable and precisely estimated. These in turn produce potency estimates that share the same benefit. We are confident that quantitative risk analysts will find many other applications and issues to explore using this database.     

Use of multiple cluster analysis methods to explore the validity of a community outcomes concept map

Concept mapping is now a commonly-used technique for articulating and evaluating programmatic outcomes. However, research regarding validity of knowledge and outcomes produced with concept mapping is sparse. The current study describes quantitative validity analyses using a concept mapping dataset. We sought to increase the validity of concept mapping evaluation results by running multiple cluster analysis methods and then using several metrics to choose from among solutions. We present four different clustering methods based on analyses using the R statistical software package: partitioning around medoids (PAM), fuzzy analysis (FANNY), agglomerative nesting (AGNES) and divisive analysis (DIANA). We then used the Dunn and Davies-Bouldin indices to assist in choosing a valid cluster solution for a concept mapping outcomes evaluation. We conclude that the validity of the outcomes map is high, based on the analyses described. Finally, we discuss areas for further concept mapping methods research.